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Record |
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Author |
Rahul Pandey; Gaurav Bahl; Hemant Purohit |
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Title |
EMAssistant: A Learning Analytics System for Social and Web Data Filtering to Assist Trainees and Volunteers of Emergency Services |
Type |
Conference Article |
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Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
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Keywords |
Training System, Disaster Management, Active Learning, Humanitarian Technology, Social Media Mining |
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Abstract |
An increasing number of Machine Learning based systems are being designed to filter and visualize the relevant
information from social media and web streams for disaster management. Given the dynamic disaster events, the
notion of relevant information evolves, and thus, the active learning techniques are often considered to keep
updating the predictive models for the relevant information filtering. However, the active relevant feedback
provided by the human annotators to update the models are not validated. As a result, they can introduce
unconscious biases in the learning process of humans and can result in an inaccurate or inefficient predictive
system. Therefore, this paper describes the design and implementation of an open-source technology-based
learning analytics system ? EMAssistant ? for the emergency volunteers or practitioners – referred as the trainee, to
enhance their experiential learning cycle with the cause-effect reasoning on providing relevant feedback to the
machine learning model. This continuous integration between the cause (providing feedback) and the effect
(observing predictions from the updated model) in a visual form will likely to improve the understanding of the
trainees to provide more accurate feedback. We propose to present the system design as well as provide
hands-on exercises for the conference session. |
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Address |
George Mason University, United States of America |
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Corporate Author |
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Thesis |
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Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
Medium |
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Track |
T12- Tool Talks |
Expedition |
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Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1900 |
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